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Effective fault localization using BP neural networks

Effective fault localization using BP neural networks

引用

19th international conference on Software Engineering and Knowledge Engineering, SEKE 2007

作者： Wong, W. Eric Zhao, Lei Qi, Yu Cai, Kai-Yuan Dong, Jing Department of Computer Science University of Texas Dallas United States Department of Automatic Control Beijing University of Aeronautics and Astronautics China

ISBN: (纸本)9781627486613

Fault localization is the most expensive activity of program debugging. It identifies the exact locations of program faults. Finding these faults using an ad-hoc approach or based only on programmers' intuitive guesswork can be very time consuming. A better way is to use a well-justified technique, supported by case studies for its effectiveness, to automatically identify and prioritize suspicious code for an examination of possible fault locations. To do so, we propose the use of a back-propagation (BP) neural network, a machine learning model which has been successful applied to software risk analysis, cost prediction, and reliability estimation, to help programmers effectively locate program faults. A BP neural network is suitable for learning the input-output relationship from a set of data, such as the inputs and the corresponding outputs of a program. We first train a BP neural network with the coverage data (e.g., statement coverage) collected from executing a program, and then we use it to compute the risk of each statement, in terms of its likelihood of containing faults. Suspicious code is ranked in descending order based on its risk. Programmers will examine such code from the top of the rank to identify faults. A case study using the seven programs in the Siemens suite is conducted. Our results suggest that a BP neural network-based fault localization method is effective in locating program faults. Copyright © (2007) by Knowledge systems Institute (KSI).

关键词： Program debugging

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Meta-search utilizing evolutionary recommendation: A web search architecture proposal

Meta-search utilizing evolutionary recommendation: A web sea...

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1st international Workshop on Intelligent Web Based Tools, IWBT 2007 - In Conjunction with the 19th IEEE international conference on Tools with Artificial Intelligence, ICTAI 2007

作者： Húsek, Dušan Keyhanipour, Amir Moshiri, Behzad Owais, Suhail S.J. Snášel, Václav Krömer, Pavel Platoš, Jan Institute of Computer Science Academy of Sciences of the Czech Republic CZ182O7 Prague Czech Republic Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran Information Technology Al-Balqa' Applied University Ajloun University College P.O. Bo 6 JO 2681O Ajloun Jordan FEECS Dept. of Computer Science VŠB Technical University of Ostrava 17. listopadu 15 CZ 708 33 Ostrava-Poruba Czech Republic

An innovative meta-search engine named WebFusion has been presented. the search system learns the expertness of every particular underlying search engine in a certain category based on the users' preferences according to an analysis of click-through behavior. In addition, an intelligent re-ranking method based on ordered weighted averaging (OWA) was introduced. the re-ranking method was used to fuse the results' scores of the underlying search engines. Independently, a progressive application of evolutionary computing to optimize Boolean search queries in crisp and fuzzy information retrieval systems was investigated, evaluated in laboratory environment and presented. In this paper we propose an incorporation of these two innovative recent methods founding an advanced Internet search application.

关键词： Search engines

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Dynamic foreground/background extraction from images and videos using random patches 19

引用

20th Annual conference on Neural Information Processing systems, NIPS 2006

作者： Lu, Le Hager, Gregory Integrated Data Systems Department Siemens Corporate Research Princeton NJ 08540 United States Department of Computer Science Johns Hopkins University Baltimore MD 21218 United States

ISBN: (纸本)9780262195683

In this paper, we propose a novel exemplar-based approach to extract dynamic foreground regions from a changing background within a collection of images or a video sequence. By using image segmentation as a pre-processing step, we convert this traditional pixel-wise labeling problem into a lower-dimensional supervised, binary labeling procedure on image segments. Our approach consists of three steps. First, a set of random image patches are spatially and adaptively sampled within each segment. Second, these sets of extracted samples are formed into two "bags of patches" to model the foreground/background appearance, respectively. We perform a novel bidirectional consistency check between new patches from incoming frames and current "bags of patches" to reject outliers, control model rigidity and make the model adaptive to new observations. Within each bag, image patches are further partitioned and resampled to create an evolving appearance model. Finally, the foreground/background decision over segments in an image is formulated using an aggregation function defined on the similarity measurements of sampled patches relative to the foreground and background models. the essence of the algorithm is conceptually simple and can be easily implemented within a few hundred lines of Matlab code. We evaluate and validate the proposed approach by extensive real examples of the object-level image mapping and tracking within a variety of challenging environments. We also show that it is straightforward to apply our problem formulation on non-rigid object tracking with difficult surveillance videos.

关键词： Image segmentation

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Applying Data Mining to Define TSP Asymptotic Time Complexity

Applying Data Mining to Define TSP Asymptotic Time Complexit...

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international conference on Tools for Artificial Intelligence (ICTAI)

作者： Paula Cecilia Fritzsche Dolores Rexachs Emilio Luque Computer Architecture and Operating Systems Department University Autonoma de Barcelona Spain

ISBN: (纸本)9780769530154;076953015X

Computational science is often referred to as the third science,complementing both theoretical and laboratory science. In this field, new challenges are continuously arising. the asymptotic time complexity definition of both deterministic and non-deterministic algorithms to solve all kinds of problems is one of the key points in computer science. Knowing the limit of the execution time of an algorithm when the size of the problem goes to infinity is essential. In particular, data-dependent applications is an extremely challenging problem because for a specific issue the input data sets may cause variability in execution times. the development of an entire approach to define the asymptotic time complexity of a hard data-dependent parallel application that solves the traveling salesman problem (TSP) is the focus of this study. Two different parallel TSP algorithms are presented. One of these is used to show the usefulness and the profits of the proposed approach, and the other one is used as witness. the experimental results are quite promising.

关键词： Data mining Traveling salesman problems computer science Application software computer architecture Laboratories H infinity control Mathematics Concurrent computing Artificial intelligence

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ADMISSION control EFFECT on thE AUC-ABYSS WEB SERVER 19

ADMISSION CONTROL EFFECT on THE AUC-ABYSS WEB SERVER

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19th international conference on Parallel and Distributed Computing systems, PDCS 2006

作者： El-Kadi, Amr Elsafty, Aisha Sherif, Asser Youssef, Hanan El Gebaly, Kareem Abdel-Fatah, Mahmoud Farouk, Walla Department of Computer Science The American University in Cairo 113 Kasr El Aini Street P.O.Box 2511 Cairo11511 Egypt

ISBN: (纸本)9781604236446

Web servers, being crucial software systems that provide web services, should normally benefit from advances in software engineering techniques and technology. Our web server (called AUC-Abyss) is a stand-alone, reliable and extensible server which was properly architected, designed and implemented using an iterative and incremental development process that outperformed Apache 2.0 (in comparable environments). In this paper, we demonstrate the ease of adding an admission control mechanism to AUC-Abyss. Our added components targeted the handling of denial of service attacks and ensuring quality of service at peak times. We show the effectiveness of these components in further improving the performance of our web server. © 19th international conference on Parallel and Distributed Computing systems 2006, PDCS 2006. All rights reserved.

关键词： Denial-of-service attack

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A CO-ALLOCATION STRATEGY FOR JOBS IN MULTIPLE HPC CLUSTERS 19

A CO-ALLOCATION STRATEGY FOR JOBS IN MULTIPLE HPC CLUSTERS

引用

19th international conference on Parallel and Distributed Computing systems, PDCS 2006

作者： Qin, Jinhui Bauer, Michael A. Computer Science Department University of Western Ontario LondonONN6A 5B7 Canada

ISBN: (纸本)9781604236446

To more effectively use HPC clusters for even larger computations, reduce turn-around times and better utilize compute resource, users are looking to interconnect multiple HPC clusters, creating a grid. To effectively use such grids, it may be desirable to split and co-allocate jobs requiring many processors across multiple clusters. While splitting a very large job across multiple clusters is an attractive possibility, the benefit, in terms of reducing turnaround time, ultimately depends on the communication patterns between processes, workload on the communication links, and the maximum bandwidth of the links. In this research, a resource management system model for multi-cluster grid is presented, and a scalable job scheduling and job allocation strategy for job co-allocation is proposed. A simulator developed in our previous work, which simulates the dynamic behavior of jobs across multiple clusters, is used to evaluate the proposed co-allocation strategy. the results conclude that properly selecting threshold values for link saturation level control and chunk size control in splitting jobs, the proposed co-allocation strategy can significantly improve both user' satisfaction and the system resource utilization even for jobs having large communication requirements. © 19th international conference on Parallel and Distributed Computing systems 2006, PDCS 2006. All rights reserved.

关键词： Scheduling

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Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems

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19th international conference on Industrial, Engineering and Other Applications of Applied Intelligent systems

作者： Alcala, R. Alcala-Fdez, J. Berlanga, F. J. Gacto, M. J. Herrera, F. Univ Granada Dept Comp Sci & AI E-18071 Granada Spain Univ Jaen Dept Comp Sci E-23071 Jaen Spain

ISBN: (纸本)3540354530

In this work, we propose the use of a new post-processing method for the lateral and amplitude tuning of membership functions combined with a rule selection to develop accurate fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements.

关键词： u

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An adaptive control using multiple neural networks for the variable displacement pump

引用

19th international conference on Industrial, Engineering and Other Applications of Applied Intelligent systems

作者： Chu, Ming-Hui Kang, Yuan Liu, Yuan-Liang Chen, Yi-Wei Chang, Yeon-Pung Chung Yuan Christian Univ Dept Engn Mech Chungli 32023 Taiwan Tung Nan Inst Technol Dept Automat Engn Taipei 222 Taiwan

ISBN: (纸本)3540354530

A model following adaptive controller made-up by neural networks is proposed to control the angular displacement of swashplate in a variable displacement axial piston pump (VDAPP), which consists of multiple neural networks including a direct neural controller, a neural emulator and a neural tuner. the controls of swashplate angle are investigated by simulation and experiment, serve its model-following characteristics can be evaluated and compared with other methods.

关键词： Adaptive control systems

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Towards lightweight fault localization in procedural programs

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19th international conference on Industrial, Engineering and Other Applications of Applied Intelligent systems

作者： Peischl, Bernhard Soomro, Safeeullah Wotawa, Franz Graz Univ Technol Inst Software Technol A-8010 Graz Austria

ISBN: (纸本)3540354530

In this paper we present a novel extension of a lightweight model for fault localization that allows for modeling procedural programs. the procedural programming paradigm is often used in (safety-critical) control software where a program's verification and subsequent fault localization is of utmost importance. In this article we present results from our recent case study relying on this kind of programs. Notably, our lightweight model is always able to localize the misbehavior's real cause.

关键词： model-based software debugging software debugging control software procedural abstraction

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Ontology for long-term knowledge

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19th international conference on Industrial, Engineering and Other Applications of Applied Intelligent systems

作者： Dourgnon-Hanoune, A. Salaun, P. Roche, Ch. Performance Optimizat Ind Proc Dept EDF Res & Dev F-78401 Chatou France Univ Savoie F-73376 Le Bourget Du Lac France

ISBN: (纸本)3540354530

this article presents experience feedback regarding one of the methods EDF uses for the reappropriation of ontological concepts in the field of control and instrumentation. the final approach used here has enabled us to check out these problems in a satisfactory manner. It has enabled us to obtain consistent and consensual ontology capitalizing on the knowledge involving the concepts impacting the field of production plant instrumentation and control.

关键词： instrumentation and control (I&C) industrial IT knowledge management competence network collaborative network ontology CMS portal

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